Abstract—The results of the study of low-carbon and structural alloyed steels using microhardness, attenuation of ultrasonic waves, and local grain deformation measurements are presented. To assess the state of the studied material, it is proposed to use statistical parameters of cumulative distributions of microhardness measurements. A novel approach for statistical evaluation of the state of material using quantile distributions of microhardness is developed. The comparison between sigmoid and quantile distributions was made, and reduction of area the relationships between statistical parameters and attenuation coefficient of ultrasonic waves, relative reduction of area and grain aspect ratio were obtained. The advantage of quantile distributions over sigmoid ones was demonstrated by higher sensitivity to the change of mechanical properties of material and lower number of coefficients to determine. The proposed method of statistical estimation of the mechanical properties makes it possible to estimate the state of stress in a material during operation.
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ACKNOWLEDGMENTS
The authors are grateful to V.P. Levin for assistance in evaluating the acoustic properties of the studied materials.
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Larionova, A.V., Botvina, L.R. Statistical Microhardness Distribution Parameters and Their Relations with the Characteristics of Local Deformation and the Attenuation Coefficient of Ultrasonic Waves. Russ. Metall. 2023, 533–540 (2023). https://doi.org/10.1134/S0036029523040134
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DOI: https://doi.org/10.1134/S0036029523040134